Image Segmentation for MRI images

Goal of the project

This project aims to segment MRI images to find soft tissu sarcomas (cancerous cells) inside a leg.

Table of contents

1. Basis of neural networks and ConvNet
2. Our implementation : Unet network
3. A first example : cows
4. Moving to sarcomas

Useful Links

• Network we chose to use : U-Net: Convolutional Networks for Biomedical Image Segmentation
• Pytorch implementation we started with : https://github.com/jvanvugt/pytorch-unet
• Sources repository : https://github.com/GaetanDesrues/MONC
• Oral presentation : Google Slides

References

• Deep Learning beautiful online book : http://neuralnetworksanddeeplearning.com
• Visualisation of convolution arithmetic : https://github.com/vdumoulin/conv_arithmetic
• Life is a gradient : Rohan Kshirsagar